Deep learning on graphs: successes, challenges | Graph Neural Networks | Michael Bronstein

  Рет қаралды 43,657

SAIConference

SAIConference

Күн бұрын

Пікірлер: 22
@andreasholzinger7056
@andreasholzinger7056 2 жыл бұрын
An excellent talk on the emerging topic of geometrical deep learning - this could bring topological data analysis which we did for decades to new importance!
@IproCoGo
@IproCoGo 3 жыл бұрын
This talk provides a helpful understanding of the intuition behind the speaker's work on geometric deep learning. Great talk! Thank you.
@KwstaSRr
@KwstaSRr 3 жыл бұрын
Man, this is a Masterpiece. Thank you for sharing.
@yiyinghu2304
@yiyinghu2304 3 жыл бұрын
great talk, such a generous share
@Ali-xo9ht
@Ali-xo9ht 3 жыл бұрын
Amazing talk! I learned a lot and got some ideas for my research. Cheers!
@torstenschindler1965
@torstenschindler1965 3 жыл бұрын
Nice lecture! “Attention is all you need.” - Is that also true for GNNs? Can dynamic graph networks be used to predict chemical reaction outcomes or yields or retrosynthetic pathways? The secret sauce of autogluon tabular is bagging, stacking and destillation. How to apply destillation on graph neural networks?
@chrisoman87
@chrisoman87 2 жыл бұрын
Well regarding attention I would look up GAT (Graphical Attention Networks)
@romigoldner4040
@romigoldner4040 3 жыл бұрын
Fantastic talk! Thanks for sharing!
@nerdinvestdor
@nerdinvestdor 4 жыл бұрын
Awesome lecture thanks!!
@nerdinvestdor
@nerdinvestdor 4 жыл бұрын
One thing that’s always confuse me is that seems (or in any example I found) with node/link prediction the whole dataset is a single graph. Is it possible to train/predict with different graphs?
@francescos7361
@francescos7361 2 жыл бұрын
Thanks super powerful.
@gems34
@gems34 2 жыл бұрын
Yup, food is medicine, many of us overlook this fundamental property. Eat right and the likelihood of illness diminishes exponentially
@PlexusTen
@PlexusTen 3 жыл бұрын
Great talk!
@kellybrower301
@kellybrower301 3 жыл бұрын
Gold
@Yutaro-Yoshii
@Yutaro-Yoshii 2 жыл бұрын
41:45 It was a bunny mesh oirc
@Yutaro-Yoshii
@Yutaro-Yoshii 2 жыл бұрын
*iirc
@Yutaro-Yoshii
@Yutaro-Yoshii 2 жыл бұрын
I love how carefully picking samples expedites the training time! Great idea that may be applicable in other situations!
@gumbo64
@gumbo64 3 жыл бұрын
oh I was wondering how all those 3d AI things worked
@peabrane8067
@peabrane8067 3 жыл бұрын
Hi
@siquod
@siquod 3 жыл бұрын
I didn't even need to see the bunny to be pretty sure it must be a bunny. Most animal meshes in academia are bunnies.
@afbf6522
@afbf6522 3 жыл бұрын
Applying Bayes' naive rule, eh?😜
@mikefat6189
@mikefat6189 3 жыл бұрын
This is who you want to be getting your geometry from hahahahaha
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